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Matplotlib.axis.Axis.set_label_position() function in Python

• Last Updated : 05 Jun, 2020

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. It is an amazing visualization library in Python for 2D plots of arrays and used for working with the broader SciPy stack.

Matplotlib.axis.Axis.set_label_position() Function

The Axis.set_label_position() function in axis module of matplotlib library is used to set the label position.

Syntax: Axis.set_label_position(self, position)

Parameters: This method accepts the following parameters.

• position: This parameter is the position of label {‘top’, ‘bottom’,’left’,’right’}.

Return value: This method does not returns any value.

Below examples illustrate the matplotlib.axis.Axis.set_label_position() function in matplotlib.axis:

Example 1:

Python3

 `# Implementation of matplotlib function ``from` `matplotlib.axis ``import` `Axis``import` `numpy as np``import` `matplotlib.pyplot as plt``  ` `fig, ax2 ``=` `plt.subplots(sharex ``=` `True``)``fig.subplots_adjust(left``=``0.2``, wspace``=``0.6``)``box ``=` `dict``(facecolor``=``'green'``, pad``=``5``, alpha``=``0.2``)``  ` `ax2.plot(``20``*``np.random.rand(``10``))``ax2.set_xlabel(``'X - Label'``, bbox``=``box)``ax2.set_xlim(``0``, ``10``)``ax2.xaxis.set_label_position(``"top"``)``  ` `fig.suptitle("Matplotlib.axis.Axis.set_label_position()\``Function Example", fontsize ``=` `12``, fontweight ``=``'bold'``) `` ` `plt.show()`

Output:

Example 2:

Python3

 `# Implementation of matplotlib function ``from` `matplotlib.axis ``import` `Axis``import` `numpy as np``import` `matplotlib.pyplot as plt``  ` `fig, (ax1, ax2) ``=` `plt.subplots(``2``, ``1``, sharex ``=` `True``)``fig.subplots_adjust(left``=``0.2``, wspace``=``0.6``)``box ``=` `dict``(facecolor``=``'green'``, pad``=``5``, alpha``=``0.2``)``  ` `np.random.seed(``19680801``)``ax1.plot(``2``*``np.random.rand(``10``))``ax1.set_title(``'Label is not aligned'``)``ax1.set_ylabel(``'Default'``, bbox``=``box)``ax1.set_ylim(``0``, ``20``)``  ` `ax2.set_title(``'\nLabel is aligned'``)``ax2.plot(``20``*``np.random.rand(``10``))``ax2.set_ylabel(``'Adjusted'``, bbox``=``box)``ax2.set_ylim(``0``, ``20``)``ax2.yaxis.set_label_position(``"right"``)``  ` `fig.suptitle("Matplotlib.axis.Axis.set_label_position()\``Function Example", fontsize ``=` `12``, fontweight ``=``'bold'``)`` ` `plt.show()`

Output:

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